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20242026
most citedIdeal-LLM: Integrating Dual Encoders and Language-Adapted LLM for Multilingual Speech-to-Text

1 citations · 2 across the 5 of their papers we have counts for

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eess.AS2026

Multimodal Conversational Context for LLM-Based ASR: Data Construction, Training, and Benchmark

Longhao Li, Jian Tang, Yuxiang Kong +4

Conversational context provides semantic and acoustic cues across turns for automatic speech recognition (ASR), but relying on historical transcripts can propagate recognition erro…

eess.AS2026

Audio-Cogito: Towards Deep Audio Reasoning in Large Audio Language Models

Longhao Li, Hongjie Chen, Zehan Li +5

Recent advances in reasoning models have driven significant progress in text and multimodal domains, yet audio reasoning remains relatively limited. Only a few Large Audio Language…

eess.AS2024★ 1 cited

Ideal-LLM: Integrating Dual Encoders and Language-Adapted LLM for Multilingual Speech-to-Text

Hongfei Xue, Wei Ren, Xuelong Geng +6

Integrating audio encoders with LLMs through connectors has enabled these models to process and comprehend audio modalities, significantly enhancing speech-to-text tasks, including…